How do I get an Endear API Key?

Log in to your Endear dashboard, navigate to **Settings > API**, and you can generate or retrieve your unique API Key from there. API access is typically available on professional and enterprise plans.

Can the agent send messages to customers?

This integration currently focuses on listing and auditing customers, notes, and orders. Sending outbound SMS or emails via Endear should be managed through the Endear mobile app or dashboard clienteling interface.

Does the integration show real-time stock levels?

You can retrieve product metadata using the list_retail_products tool. While it shows current product availability, detailed granular inventory across all locations should be confirmed within the Endear inventory module.

Endear Retail CRM MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Endear Retail CRM
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Endear Retail CRM through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "endear-retail-crm": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Endear Retail CRM, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About Endear Retail CRM MCP Server

Integrate Endear, the leading retail CRM and clienteling platform, directly into your AI workflow. Manage your customer profiles and purchase history, track clienteling notes and interactions, monitor product catalogs and team tasks, and oversee your retail operations using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Endear Retail CRM through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Customer Oversight — List and retrieve detailed profiles, email addresses, and total spend for all your retail customers.
Purchase Intelligence — Monitor customer order history, resolving order numbers, amounts, and fulfillment statuses.
Clienteling Management — Access and monitor customer notes and interactions, tracking tasks and follow-ups for your sales team.
Retail Auditing — Retrieve high-level summaries of customer volume, order activity, and organizational retail health instantly.

The Endear Retail CRM MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Endear Retail CRM to LangChain via MCP

Follow these steps to integrate the Endear Retail CRM MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Endear Retail CRM via MCP

Why Use LangChain with the Endear Retail CRM MCP Server

LangChain provides unique advantages when paired with Endear Retail CRM through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Endear Retail CRM MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Endear Retail CRM queries for multi-turn workflows

Endear Retail CRM + LangChain Use Cases

Practical scenarios where LangChain combined with the Endear Retail CRM MCP Server delivers measurable value.

RAG with live data: combine Endear Retail CRM tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Endear Retail CRM, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Endear Retail CRM tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Endear Retail CRM tool call, measure latency, and optimize your agent's performance

Endear Retail CRM MCP Tools for LangChain (10)

These 10 tools become available when you connect Endear Retail CRM to LangChain via MCP:

get_customer_profile

Get detailed profile and history for a specific customer

get_endear_account_metadata

Retrieve metadata and settings for your Endear account

list_clienteling_tasks

List all clienteling and follow-up tasks

list_customer_clienteling_notes

List all clienteling notes and interactions for a specific customer

list_customer_purchase_history

List all orders and purchase history for a specific customer

list_retail_customers

List all customers in your Endear CRM

list_retail_products

List all products available in your retail catalog

list_retail_team_members

List all team members and sales associates in the organization

quick_retail_performance_audit

Retrieve a high-level summary of customers, orders, and products

search_customers_by_name_or_email

Search for customers using a name or email keyword

Example Prompts for Endear Retail CRM in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Endear Retail CRM immediately.

"List all customers with high total spend."

"Show me the last 5 orders for customer ID 'CUST-12345'."

"Search for customers matching 'Sarah'."

Troubleshooting Endear Retail CRM MCP Server with LangChain

Common issues when connecting Endear Retail CRM to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Endear Retail CRM + LangChain FAQ

Common questions about integrating Endear Retail CRM MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.